{"id":"W2069567328","doi":"10.1186/1471-2164-13-403","title":"Transcriptome-based exon capture enables highly cost-effective comparative genomic data collection at moderate evolutionary scales","year":2012,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":296,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Montana; University of Texas at Austin; Gordon and Betty Moore Foundation","keywords":"Biology; Genome; Computational biology; Phylogenetic tree; Evolutionary biology; Transcriptome; Genetics; DNA microarray; Genomics; Population; Exon; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002450605,0.0003452599,0.0003345021,0.0000894823,0.0004606995,0.00003291977,0.0003876821,0.0002149626,0.00001145585],"category_scores_gemma":[0.00002214043,0.00034684,0.0001206696,0.0001273286,0.000173837,0.000006159004,0.000340941,0.000113783,0.0000324417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294867,"about_ca_system_score_gemma":0.0002128742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007648199,"about_ca_topic_score_gemma":0.000728853,"domain_scores_codex":[0.9982823,0.0001686339,0.0002955203,0.0006052611,0.0001254825,0.0005228441],"domain_scores_gemma":[0.9988015,0.00005487346,0.0001379923,0.0007141673,0.0001261822,0.0001652834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008452574,0.0001796603,0.01785182,0.00003625128,0.0002133125,6.21658e-7,0.0005810093,0.009415976,0.9632204,0.00009552507,0.007316282,0.0002439417],"study_design_scores_gemma":[0.003875724,0.0004821268,0.1178937,0.00002070945,0.0003113079,0.00005301039,0.001011014,0.01997112,0.4209292,0.0001396765,0.4338278,0.001484631],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740844,0.01691107,0.005614539,0.0000734589,0.0005293171,0.001450038,0.0006829289,0.00001377886,0.0006405124],"genre_scores_gemma":[0.9919255,0.0004255862,0.004774343,0.0002128289,0.0004635109,0.0002730742,0.001232218,0.00004694174,0.0006459999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5422911,"threshold_uncertainty_score":0.9998984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04791368818688427,"score_gpt":0.2709789211024575,"score_spread":0.2230652329155733,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}